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Green space, social inequalities and neonatal mortality in France

BACKGROUND: Few studies have considered using environmental amenities to explain social health inequalities. Nevertheless, Green spaces that promote good health may have an effect on socioeconomic health inequalities. In developed countries, there is considerable evidence that green spaces have a be...

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Autores principales: Kihal-Talantikite, Wahida, Padilla, Cindy M, Lalloué, Benoît, Gelormini, Marcello, Zmirou-Navier, Denis, Deguen, Severine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015785/
https://www.ncbi.nlm.nih.gov/pubmed/24139283
http://dx.doi.org/10.1186/1471-2393-13-191
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author Kihal-Talantikite, Wahida
Padilla, Cindy M
Lalloué, Benoît
Gelormini, Marcello
Zmirou-Navier, Denis
Deguen, Severine
author_facet Kihal-Talantikite, Wahida
Padilla, Cindy M
Lalloué, Benoît
Gelormini, Marcello
Zmirou-Navier, Denis
Deguen, Severine
author_sort Kihal-Talantikite, Wahida
collection PubMed
description BACKGROUND: Few studies have considered using environmental amenities to explain social health inequalities. Nevertheless, Green spaces that promote good health may have an effect on socioeconomic health inequalities. In developed countries, there is considerable evidence that green spaces have a beneficial effect on the health of urban populations and recent studies suggest they can have a positive effect on pregnancy outcomes. To investigate the relationship between green spaces and the spatial distribution of infant mortality taking account neighborhood deprivation levels. METHODS: The study took place in Lyon metropolitan area, France. All infant deaths that occurred between 2000 and 2009 were geocoded at census block level. Each census block was assigned greenness and socioeconomic deprivation levels. The spatial–scan statistic was used to identify high risk cluster of infant mortality according to these neighborhood characteristics. RESULTS: The spatial distribution of infant mortality was not random with a high risk cluster in the south east of the Lyon metropolitan area (p<0.003). This cluster disappeared (p=0.12) after adjustment for greenness level and socioeconomic deprivation, suggesting that these factors explain part of the spatial distribution of infant mortality. These results are discussed using a conceptual framework with 3 hypothetical pathways by which green spaces may have a beneficial effect on adverse pregnancy outcomes: (i) a psychological pathway, (ii) a physiological disruption process and (iii) an environmental pathway. CONCLUSIONS: These results add some evidence to the hypothesis that there is a relationship between access to green spaces and pregnancy outcomes but further research is required to confirm this.
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spelling pubmed-40157852014-05-10 Green space, social inequalities and neonatal mortality in France Kihal-Talantikite, Wahida Padilla, Cindy M Lalloué, Benoît Gelormini, Marcello Zmirou-Navier, Denis Deguen, Severine BMC Pregnancy Childbirth Research Article BACKGROUND: Few studies have considered using environmental amenities to explain social health inequalities. Nevertheless, Green spaces that promote good health may have an effect on socioeconomic health inequalities. In developed countries, there is considerable evidence that green spaces have a beneficial effect on the health of urban populations and recent studies suggest they can have a positive effect on pregnancy outcomes. To investigate the relationship between green spaces and the spatial distribution of infant mortality taking account neighborhood deprivation levels. METHODS: The study took place in Lyon metropolitan area, France. All infant deaths that occurred between 2000 and 2009 were geocoded at census block level. Each census block was assigned greenness and socioeconomic deprivation levels. The spatial–scan statistic was used to identify high risk cluster of infant mortality according to these neighborhood characteristics. RESULTS: The spatial distribution of infant mortality was not random with a high risk cluster in the south east of the Lyon metropolitan area (p<0.003). This cluster disappeared (p=0.12) after adjustment for greenness level and socioeconomic deprivation, suggesting that these factors explain part of the spatial distribution of infant mortality. These results are discussed using a conceptual framework with 3 hypothetical pathways by which green spaces may have a beneficial effect on adverse pregnancy outcomes: (i) a psychological pathway, (ii) a physiological disruption process and (iii) an environmental pathway. CONCLUSIONS: These results add some evidence to the hypothesis that there is a relationship between access to green spaces and pregnancy outcomes but further research is required to confirm this. BioMed Central 2013-10-20 /pmc/articles/PMC4015785/ /pubmed/24139283 http://dx.doi.org/10.1186/1471-2393-13-191 Text en Copyright © 2013 Kihal-Talantikite et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kihal-Talantikite, Wahida
Padilla, Cindy M
Lalloué, Benoît
Gelormini, Marcello
Zmirou-Navier, Denis
Deguen, Severine
Green space, social inequalities and neonatal mortality in France
title Green space, social inequalities and neonatal mortality in France
title_full Green space, social inequalities and neonatal mortality in France
title_fullStr Green space, social inequalities and neonatal mortality in France
title_full_unstemmed Green space, social inequalities and neonatal mortality in France
title_short Green space, social inequalities and neonatal mortality in France
title_sort green space, social inequalities and neonatal mortality in france
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015785/
https://www.ncbi.nlm.nih.gov/pubmed/24139283
http://dx.doi.org/10.1186/1471-2393-13-191
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